Difference between revisions of "Sequence to Sequence (Seq2Seq)"
| Line 1: | Line 1: | ||
[http://www.youtube.com/results?search_query=sequence+to+sequence+learning+Seq2seq+neural+networks YouTube search...] | [http://www.youtube.com/results?search_query=sequence+to+sequence+learning+Seq2seq+neural+networks YouTube search...] | ||
| − | * [http://github.com/NVIDIA/OpenSeq2Seq Open Seq2Seq] | + | * [http://github.com/NVIDIA/OpenSeq2Seq Open Seq2Seq | NVIDIA] |
* [[Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)]] | * [[Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)]] | ||
* [[Autoencoders / Encoder-Decoders]] | * [[Autoencoders / Encoder-Decoders]] | ||
Revision as of 15:34, 22 October 2018
- Open Seq2Seq | NVIDIA
- Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
- Autoencoders / Encoder-Decoders
- Attention Models
- Natural Language Processing (NLP), Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)
- (Speech to) Text to Process to Text (to Speech) - Chatbot, Virtual Assistance